Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0331	1.0	967	0.0132	0.9919	0.9893	0.9906	0.9963
0.019	2.0	1934	0.0077	0.9941	0.9936	0.9938	0.9977
0.0127	3.0	2901	0.0060	0.9973	0.9973	0.9973	0.9982
0.0102	4.0	3868	0.0035	0.9968	0.9962	0.9965	0.9990
0.0077	5.0	4835	0.0024	0.9989	0.9989	0.9989	0.9993
0.0065	6.0	5802	0.0015	0.9989	0.9984	0.9987	0.9996
0.0047	7.0	6769	0.0012	0.9995	0.9989	0.9992	0.9997
0.0036	8.0	7736	0.0009	1.0	0.9995	0.9997	0.9997
0.0031	9.0	8703	0.0007	0.9995	0.9995	0.9995	0.9998
0.0027	10.0	9670	0.0004	1.0	1.0	1.0	0.9999
0.0021	11.0	10637	0.0003	1.0	1.0	1.0	0.9999
0.0017	12.0	11604	0.0002	1.0	1.0	1.0	1.0000
0.0015	13.0	12571	0.0001	1.0	1.0	1.0	1.0000
0.0011	14.0	13538	0.0001	1.0	1.0	1.0	1.0000
0.001	15.0	14505	0.0001	1.0	1.0	1.0	1.0000
0.0008	16.0	15472	0.0001	1.0	1.0	1.0	1.0000
0.0007	17.0	16439	0.0000	1.0	1.0	1.0	1.0000
0.0006	18.0	17406	0.0000	1.0	1.0	1.0	1.0000
0.0006	19.0	18373	0.0000	1.0	1.0	1.0	1.0000
0.0005	20.0	19340	0.0000	1.0	1.0	1.0	1.0000